About the role#
The AI Engineering Intern supports the design, development, testing, and deployment of artificial intelligence solutions. This hands-on role provides exposure to model development, data preparation, and prototype creation. You will work closely with senior engineers to build foundational skills in coding standards, version control, and cloud-native development. This position emphasizes learning through supervised project tasks, code reviews, and frequent check-ins.
What you'll do#
- Support the development of AI models and prototypes through data preparation, scripting, and experimentation.
- Assist in implementing components of AI pipelines, including preprocessing, model training, and testing workflows.
- Participate in code reviews and supervised engineering tasks to learn best practices.
- Contribute to documentation of prototypes, experiments, and engineering processes.
- Execute test cases and validation procedures to verify model performance and reliability.
What you'll need#
- Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field.
- Working knowledge of foundational programming concepts and data structures, with exposure to Python.
- Familiarity with core AI/ML concepts gained through coursework or independent projects.
- Ability to communicate technical ideas clearly and collaborate effectively within a team.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
Location & details#
- Location: Chicago, Illinois, United States.
- Modality: On-site.
- Employment: Full-time, paid internship.
- Term: Rolling.
- Note: Crowe is not sponsoring for work authorization for this role.
How to get in at Crowe
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